Event-based vision: A survey
Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
[HTML][HTML] Deep learning with spiking neurons: opportunities and challenges
Spiking neural networks (SNNs) are inspired by information processing in biology, where
sparse and asynchronous binary signals are communicated and processed in a massively …
sparse and asynchronous binary signals are communicated and processed in a massively …
A low power, fully event-based gesture recognition system
We present the first gesture recognition system implemented end-to-end on event-based
hardware, using a TrueNorth neurosynaptic processor to recognize hand gestures in real …
hardware, using a TrueNorth neurosynaptic processor to recognize hand gestures in real …
Recent methods and databases in vision-based hand gesture recognition: A review
Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …
the path for natural human–computer interaction systems. Unresolved challenges such as …
EMVS: Event-based multi-view stereo—3D reconstruction with an event camera in real-time
Event cameras are bio-inspired vision sensors that output pixel-level brightness changes
instead of standard intensity frames. They offer significant advantages over standard …
instead of standard intensity frames. They offer significant advantages over standard …
Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
Abstract Sign Language Recognition is a breakthrough for communication among deaf-mute
society and has been a critical research topic for years. Although some of the previous …
society and has been a critical research topic for years. Although some of the previous …
Liaf-net: Leaky integrate and analog fire network for lightweight and efficient spatiotemporal information processing
Spiking neural networks (SNNs) based on the leaky integrate and fire (LIF) model have
been applied to energy-efficient temporal and spatiotemporal processing tasks. Due to the …
been applied to energy-efficient temporal and spatiotemporal processing tasks. Due to the …
Space-time event clouds for gesture recognition: From RGB cameras to event cameras
The recently developed event cameras can directly sense the motion in the scene by
generating an asynchronous sequence of events, ie, event streams, where each individual …
generating an asynchronous sequence of events, ie, event streams, where each individual …
Focus is all you need: Loss functions for event-based vision
Event cameras are novel vision sensors that output pixel-level brightness changes ("
events") instead of traditional video frames. These asynchronous sensors offer several …
events") instead of traditional video frames. These asynchronous sensors offer several …
Event-based motion segmentation with spatio-temporal graph cuts
Identifying independently moving objects is an essential task for dynamic scene
understanding. However, traditional cameras used in dynamic scenes may suffer from …
understanding. However, traditional cameras used in dynamic scenes may suffer from …